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A class-wise quantum relational calibration network for brain tumor diagnosis.

Overview

Authors: Joen-Rong Sheu1,2, Jingnan Xie3, Chung-Nan Tsai4, Cheng-Ying Hsieh1, Ching-Sheng Lin5
ORCID iDs: Jingnan Xie
  1. Department of Pharmacology, School of Medicine, College of Medicine, Taipei Medical University,Taipei, Taiwan
  2. College of Medicine, Graduate Institute of Medical Sciences, Taipei Medical University,Taipei, Taiwan
  3. Computer Science, Millersville University of PA,Millersville, PA 17551 USA
  4. Lam Research Corporation, Boise, ID USA
  5. Master Program of Digital Innovation, Tunghai University,Taichung City, 40704 Taiwan
Institutions: Taipei Medical University (Taiwan); Millersville University (United States); Tunghai University (Taiwan)
Journal: Scientific reports, volume 16, issue 1, article 24012
Dates: received 25 March 2026; accepted 8 July 2026; published online 4 August 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1038/s41598-026-61891-y · PMID 42552341 · PMCID PMC13438148 · OpenAlex W7172396645
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: structural MRI / diffusion (modality), human (organism), other condition (population)
Methods: Connectivity, Machine learning
Keywords: Magnetic resonance imaging, Quantum relational calibration network, Noise-aware quantum simulations, Temperature scaling, Quantum circuit depth, Engineering, Mathematics and computing, Physics
MeSH: Brain Neoplasms*, Magnetic Resonance Imaging*, Calibration, Convolutional Neural Networks, Humans, Neural Networks, Computer, Quantum Mechanics, Quantum Theory (* major topic)
Topic: Quantum Computing Algorithms and Architecture (Artificial Intelligence, Computer Science), according to OpenAlex
Funding: National Science and Technology Council
Citations: not cited yet (Europe PMC); 32 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

The paper has a data availability statement. Its license (CC BY-NC-ND) does not allow reproducing it here; in short, from what the harvester recognized in it:

Read it in the paper: doi.org/10.1038/s41598-026-61891-y.

Versions

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Version 1, 27 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 5 authors, 8 keywords, 8 MeSH terms, 1 funder, 22 references.

Cite

This paper

Sheu, J.-R., Xie, J., Tsai, C.-N., Hsieh, C.-Y., & Lin, C.-S. (2026). A class-wise quantum relational calibration network for brain tumor diagnosis. Scientific reports, 16(1), 24012. https://doi.org/10.1038/s41598-026-61891-y

BibTeX

@article{sheu2026class,
author = {Sheu, Joen-Rong and Xie, Jingnan and Tsai, Chung-Nan and Hsieh, Cheng-Ying and Lin, Ching-Sheng},
title = {{A class-wise quantum relational calibration network for brain tumor diagnosis}},
journal = {Scientific reports},
year = {2026},
month = aug,
volume = {16},
number = {1},
pages = {24012},
publisher = {Nature Publishing Group},
issn = {2045-2322},
doi = {10.1038/s41598-026-61891-y},
url = {https://doi.org/10.1038/s41598-026-61891-y},
pmid = {42552341},
pmcid = {PMC13438148}
}

RIS

TY - JOUR
AU - Sheu, Joen-Rong
AU - Xie, Jingnan
AU - Tsai, Chung-Nan
AU - Hsieh, Cheng-Ying
AU - Lin, Ching-Sheng
TI - A class-wise quantum relational calibration network for brain tumor diagnosis
T2 - Scientific reports
J2 - Sci Rep
PY - 2026
DA - 2026/08/04
VL - 16
IS - 1
SP - 24012
SN - 2045-2322
PB - Nature Publishing Group
DO - 10.1038/s41598-026-61891-y
UR - https://doi.org/10.1038/s41598-026-61891-y
LA - en
ER -

CSL-JSON

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"language": "en",
"issued": {
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